Specifications
2 School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology
(XAUT), Xi'an, China
Corresponding author: Mingshun, Y. (yangmingshun@xaut.edu.cn)
Source title: International Journal of Online Engineering
Abbreviated source title: Int. J. Online Eng.
Volume: 9
Issue: SPL.ISSUE4
Issue date: 2013
Publication year: 2013
Pages: 15-19
Language: English
ISSN: 18681646
E-ISSN: 18612121
Document type: Journal article (JA)
Publisher: Kassel University Press GmbH, Diagonale 10, Kassel, 34127, Germany
Abstract: In the configuration procedure of QFD "Quality Function Deployment", the
importance rating of customer requirements as one of the important input parameters is very
significant to the determination of the technical characteristics and even to the optimum decision
to the whole quality of house as well as the following step of allocation decision-making. In this
paper, firstly the drawbacks of the existing methods of determining the importance rating of
customer requirements are analyzed. Then with the influence of customer requirement
interdependence and market competitive evaluations sufficiently considered, DEMATEL is
introduced to deal with self-correlations between customer requirements and Entropy is used to
dispose the market competitive evaluations to modify the fundamental importance ratings of the
customer requirements, thus a more objective comprehensive fundamental importance rating of
the customer requirements can be gained. Finally, one example is given to verify the
effectiveness of the presented method.
Number of references: 9
Main heading: Sales
Controlled terms: Commerce - Entropy - Quality function deployment - Rating
Uncontrolled terms: Customer requirements - DEMATEL - Importance
rating - Input parameter - Optimum decision
Classification code: 641.1 Thermodynamics - 902.2 Codes and Standards - 911.4
Marketing - 913.3 Quality Assurance and Control
DOI: 10.3991/ijoe.v9iS4.2590
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
14.
Accession number: 20132716474189
Title: Object shape classification and scene shape representation for three-dimensional
laser scanned outdoor data
Authors: Ning, Xiaojuan1, 2 ; Wang, Yinghui1 ; Zhang, Xiaopeng2/宁小娟;王映辉;张晓鹏
Author affiliation:
1 Xi'an University of Technology, Department of Computer Science Engineering, Xi'an, China










